A performance approach to fuzzy control design for nonlinear systems

Research output: Contribution to journalArticle

35 Citations (Scopus)

Abstract

This paper presents a systematic methodology to the design of a decentralized fuzzy logic controller for large-scale nonlinear systems. A new method which is based on a performance index of sliding mode control is used to derive fuzzy rules and an adaptive algorithm is used to reduce the chattering phenomenon. The simulation results of a two-inverted pendulum system and a two-link manipulator demonstrate that the attractive features of the proposed approach include a smaller residual error and robustness against nonlinear interactions.

Original languageEnglish
Pages (from-to)339-352
Number of pages14
JournalFuzzy Sets and Systems
Volume64
Issue number3
DOIs
Publication statusPublished - 1994 Jun 24

Fingerprint

Chattering
Inverted Pendulum
Fuzzy Logic Controller
Nonlinear Interaction
Fuzzy rules
Sliding mode control
Sliding Mode Control
Pendulums
Performance Index
Large-scale Systems
Manipulator
Fuzzy control
Adaptive algorithms
Fuzzy Rules
Fuzzy Control
Adaptive Algorithm
Control Design
Decentralized
Fuzzy logic
Manipulators

Keywords

  • Fuzzy control
  • adaptive control
  • inverted pendulum

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Statistics, Probability and Uncertainty
  • Electrical and Electronic Engineering
  • Statistics and Probability

Cite this

A performance approach to fuzzy control design for nonlinear systems. / Yeh, Zong-Mu.

In: Fuzzy Sets and Systems, Vol. 64, No. 3, 24.06.1994, p. 339-352.

Research output: Contribution to journalArticle

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